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Chinese Named Entity Recognition

Chinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. from Chinese text (Source: Adapted from Wikipedia).

Papers

Showing 110 of 75 papers

TitleStatusHype
TENER: Adapting Transformer Encoder for Named Entity RecognitionCode3
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingCode3
ERNIE: Enhanced Representation through Knowledge IntegrationCode3
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChineseCode2
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
Chinese NER Using Lattice LSTMCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
A Unified MRC Framework for Named Entity RecognitionCode1
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